| Path optimization for marine vehicles in ocean currents using reinforcement learning B Yoo, J Kim Journal of Marine Science and Technology 21, 334-343, 2016 | 111 | 2016 |
| Development of an unmanned surface vehicle system for the 2014 Maritime RobotX Challenge J Park, M Kang, T Kim, S Kwon, J Han, J Wang, S Yoon, B Yoo, S Hong, ... Journal of field robotics 34 (4), 644-665, 2017 | 48 | 2017 |
| Autonomous collision avoidance for unmanned surface ships using onboard monocular vision J Park, Y Cho, B Yoo, J Kim OCEANS 2015-MTS/IEEE Washington, 1-6, 2015 | 21 | 2015 |
| Probabilistic modeling of ship powering performance using full-scale operational data B Yoo, J Kim Applied Ocean Research 82, 1-9, 2019 | 20 | 2019 |
| Powering performance analysis of full-scale ships under environmental disturbances B Yoo, J Kim IFAC-PapersOnLine 50 (1), 2323-2328, 2017 | 9 | 2017 |
| Development of USV autonomy for the 2014 maritime RobotX challenge M Kang, S Kwon, J Park, T Kim, J Han, J Wang, S Hong, Y Shim, S Yoon, ... IFAC-PapersOnLine 48 (16), 13-18, 2015 | 9 | 2015 |
| CuMARL: Curiosity-based learning in multiagent reinforcement learning DD Ningombam, B Yoo, HW Kim, HJ Song, S Yi IEEE Access 10, 87254-87265, 2022 | 8 | 2022 |
| A novel and efficient influence-seeking exploration in deep multiagent reinforcement learning B Yoo, DD Ningombam, S Yi, HW Kim, E Chung, R Han, HJ Song IEEE Access 10, 47741-47753, 2022 | 6 | 2022 |
| Ship route optimization considering on-time arrival probability under environmental uncertainty B Yoo, J Kim 2018 OCEANS-MTS/IEEE Kobe Techno-Oceans (OTO), 1-5, 2018 | 6 | 2018 |
| A Survey on Recent Advances in Multi-Agent Reinforcement Learning BH Yoo, DD Ningombam, HW Kim, HJ Song, GM Park, S Yi Electronics and Telecommunications Trends 35 (6), 137-149, 2020 | 2 | 2020 |
| Method for exploration based on curiosity and prioritization of experience data in multi-agent reinforcement learning ND Devi, S Yi, HW Kim, HJ Song, BH Yoo US Patent App. 17/570,226, 2022 | 1 | 2022 |
| Method and apparatus for online bayesian few-shot learning HW Kim, GM Park, JG Park, HJ Song, BH Yoo, ES Chung, R Han US Patent App. 17/353,136, 2021 | 1 | 2021 |
| Learning method of neural network model for language generation and apparatus for performing the learning method ES Chung, HW Kim, HJ Song, YR Oh, BH Yoo, R Han US Patent App. 17/024,062, 2021 | 1 | 2021 |
| Method and apparatus for learning concept based few-shot HW Kim, JG Park, S Hwajeon, Y Jeongmin, YOO Byunghyun, E Chung, ... US Patent App. 18/088,428, 2023 | | 2023 |
| Exploration method and apparatus in multi-agent reinforcement learning YOO Byunghyun, HW Kim, JG Park, HJ Song, Y Jeongmin, S Yi, E Chung, ... US Patent App. 17/893,628, 2023 | | 2023 |
| Dialog‐based multi‐item recommendation using automatic evaluation E Chung, HW Kim, B Yoo, R Han, J Yang, HJ Song ETRI Journal, 2023 | | 2023 |
| System and method for adaptive masking and non-directional language understanding and generation ES Chung, HW Kim, GM Park, JG Park, HJ Song, BH Yoo, R Han US Patent App. 17/540,768, 2022 | | 2022 |
| Method and apparatus of increasing knowledge based on uncertainty in neural networks HW Kim, JG Park, HJ Song, YR Oh, BH Yoo, ES Chung, R Han US Patent App. 17/332,464, 2021 | | 2021 |
| Ship Route Optimization Considering Environmental Uncertainty BH Yoo, JH Kim Proceedings of the Korean Institute of Navigation and Port Research …, 2017 | | 2017 |
| 실선운항기록을 이용한 환경외란중에서의 선박추진성능해석 B Yoo, J Kim, Y Ann, J Kim 2016 년도 대한조선학회 춘계학술대회, 2016 | | 2016 |
Jinwhan KimMechanical Engineering, KAIST在 kaist.ac.kr 的电子邮件经过验证
